You’ve heard of passwords and credit card numbers for identification. But what about fingerprints, retinal scans, and other elements of physical appearance that can serve as security codes? In the future, these types of digital identifiers will be more common than you think. Biometric technologies track physical characteristics like fingerprints, retinal scans, and facial recognition to verify identity.
The availability of biometrics in the digital world is a result of the convergence of two significant trends: digitization and artificial intelligence (AI). The term “digitization” refers to our increasing use and reliance on technology. With digitization comes increased access to data, along with new security concerns. For example, when an individual has access to unlimited financial information or government records through a service like banking or governmental services online, it is known as “digital frictionless access” or DFA.
DFA has led to a rise in cybercrime where hackers are increasingly targeting users for their personal or financial data. Digital Security Implications To protect against cyberattacks and DFA access from hackers, we must turn to AI-enabled security solutions. AI uses algorithms to solve problems by learning patterns from existing data sets. AI thus enables systems that can detect anomalies in patterns based on previously recorded input patterns without being explicitly programmed beforehand. AI-enabled biometric solutions use algorithms like machine learning and neural networks to identify individuals with greater accuracy than traditional methods like fingerprinting alone — without requiring all users to have their
what is biometric security?
When we think of biometrics, we typically think of fingerprints, retina scans, or facial recognition — but these are just a few examples of the many biometric features that are available for use today. Biometrics is the use of unique identifiers like fingerprints, voice, retinal scans, faces, or unique devices like smartwatches or rings to verify identity. In order to stay secure online, a wide range of digital services, from banking to government services, are beginning to rely on biometrics. Biometric solutions are becoming more common as AI and machine learning are used to enhance biometric security. Some biometric solutions are meant to improve the user experience, such as facial recognition options that let users pick preferred photos or allow for never-before-seen photos to be identified. Others, like AI being used to enhance biometric security, can make biometrics more accurate.
Fingerprint recognition
fingerprint recognition is the process by which fingerprints are captured and stored by computers as an identifier. Fingerprints are unique to each person, and their patterns can’t be replicated. Fingerprint recognition is an essential component for biometric security because it prevents spoofing and false-positive errors. A fingerprint can’t be forged and false matches can’t be made.
Retinal scan identification person’s
iris is a unique identifier that can be used to uniquely identify a specific person. Iris identification creates a digital representation of a person’s iris and assigns a unique identifier to it. If the computer system assigns a person a unique identifier and they try to access a computer system that assigns them that identifier, authentication has been successfully completed. Because iris scans are unique and easily identifiable, they are a popular form of biometric identification.
Facial recognition
Facial recognition is an increasingly popular way to identify people. Computer systems capture a person’s face and assign a unique identifier to it. Facial recognition can then be used to access a person’s computer system or verify their identity. Computer systems that use facial recognition are capable of identifying a person’s face from different orientations and lighting conditions.
Iris Identification
Iris identification uses a person’s iris scan to create a digital representation of their eye and assign a unique identifier to it. Like a fingerprint, iris scans cannot be forged or falsely matched. Unlike fingerprints, iris scans can be captured from different angles, lighting conditions, and orientations — making them more discreet.
Signature verification
Signature verification is an increasingly popular way to verify an individual’s identity. Computer systems assign a unique identifier to a person’s signature and compare it to the signature on the document being submitted. Signature verification can be used to authenticate a person’s identity on their computer system.
conclusion
when it comes to protecting your digital identity and preventing fraud, biometrics are an increasingly popular security solution. Although they are often associated with physical attributes like fingerprints, retinal scans, or facial recognition, they can be used to verify digital identities as well. The best part? These digital identifiers are nearly imperceptible and are almost impossible to replicate — making them a more effective option than passwords and other common security systems.